Current knowledge on tumour induction by computed tomography should be carefully used

• Published in: European radiology Vol. 24; no. 3; pp. 649 - 656
• Main Authors: Candela-Juan, Cristian, Montoro, Alegría, Ruiz-Martínez, Enrique, Villaescusa, Juan Ignacio, Martí-Bonmatí, Luis
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2014; Springer Nature B.V
• Subjects: Cancer; Computed Tomography; Diagnostic Radiology; Dose-Response Relationship, Radiation; Dosimetry; Epidemiology; Estimates; Gamma rays; Humans; Imaging; Internal Medicine; Interventional Radiology; Medical imaging; Medical research; Medicine; Medicine & Public Health; Models, Statistical; Neoplasms, Radiation-Induced - epidemiology; Neuroradiology; Radiation; Radiation Dosage; Radiology; Risk Factors; Tomography; Tomography, X-Ray Computed - adverse effects; Tomography, X-Ray Computed - statistics & numerical data; Ultrasound; Spain; Radiation risk; Induced cancers; Computed tomography; Epidemiology; Risk coefficients
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-013-3047-z

Risks associated to ionising radiation from medical imaging techniques have focused the attention of the medical society and general population. This risk is aimed to determine the probability that a tumour is induced as a result of a computed tomography (CT) examination since it makes nowadays the biggest contribution to the collective dose. Several models of cancer induction have been reported in the literature, with diametrically different implications. This article reviews those models, focusing on the ones used by the scientific community to estimate CT detriments. Current estimates of the probability that a CT examination induces cancer are reported, highlighting its low magnitude (near the background level) and large sources of uncertainty. From this objective review, it is concluded that epidemiological data with more accurate dosimetric estimates are needed. Prediction of the number of tumours that will be induced in population exposed to ionising radiation should be avoided or, if given, it should be accompanied by a realistic evaluation of its uncertainty and of the advantages of CTs. Otherwise they may have a negative impact in both the medical community and the patients. Reducing doses even more is not justified if that compromises clinical image quality in a necessary investigation. Key Points • Predictions of radiation-induced cancer should be discussed alongside benefits of imaging. • Estimates of induced cancers have noticeable uncertainties that should always be highlighted. • There is controversy about the acceptance of the linear no-threshold model. • Estimated extra risks of cancer are close to the background level. • Patients should not be alarmed by potential cancer induction by CT examinations.